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copied!<p>I have a list called network which needs to be modified by the use of a function. The list contains 100 elements, of which each is at random +1 or -1. This list has to be modified in a way so that every time a function runs, it modifies an element in a copy of network. I then need to graph these lists on a graph. </p> <p>My code is as follows:</p> <pre><code>import math import random import numpy as np #Generate network elements network=[] for x in range(0,100): network.append(random.choice([-1,1])) #Generate Matrix matrix=np.ones((100,100)) p=np.random.permutation(100) matrix[p[:10]]=1 matrix[p[:10]]=-1 #Set diagonal values to zero matrix[np.diag_indices_from(matrix)]=0 #THIS IS THE FUNCTION THAT WILL BE MODIFYING AN ELEMENT, i, IN NETWORK. def new_sum(i): hi=np.sum(np.dot(matrix[i][:100],network[:100])) if hi>0: hi==1 if hi<0: hi==-1 return hi """HERE IS WHERE I NEED HELP. I NEED TO HAVE THIS FUNCTION RUN AT RANDOM ON ANY ELEMENT IN NETWORK. WHEN IT RUNS, I NEED TO COPY NETWORK AS A NEW LIST AND HAVE hi REPLACE THE CORRESPONDING INDEX, i, IN THE COPIED LIST. THE PROBLEM IS THAT I NEED TO HAVE THIS FUNCTION RUN 300 TIMES, AND EVERYTIME IT RUNS, I NEED TO COPY NETWORK AS A NEW LIST AND HAVE hi REPLACE THE CORRESPONDING INDEX, i, IN THE COPIED LIST. HERE IS CODE: """ def new_function(value): for i in range(0,value): new_list=network[:] new_sum(i)= x new_list[i]=x return new_list def plot_data(ax, data, xval): N:len(data) uniqdata, idx=np.unique(data, return_inverse=True) ax.scatter(np.ones(N)*xval,np.arange(1,N+1),s=50,c=cmap[idx]) cmap = np.array([(1,0,0),(0,1,0)]) fig, ax=plt.subplots </code></pre> <p>I then have to graph the 300 lists that need to be created, where each list is the argument, <code>data</code>, in the function <code>plot_data</code>. How do I do this?</p>

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